class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
code: def operator_and_matrix(
      self,
      build_info,
      dtype,
      use_placeholder,
      ensure_self_adjoint_and_pd=False,
  ):
      shape = list(build_info.shape)
  
      if ensure_self_adjoint_and_pd:
          matrix = (
              linear_operator_test_util.random_positive_definite_matrix(
                  shape, dtype, force_well_conditioned=True
              )
          )
      else:
          matrix = linear_operator_test_util.random_tril_matrix(
              shape,
              dtype,
              force_well_conditioned=True,
              remove_upper=True,
          )
  
      lin_op_matrix = matrix
  
      if use_placeholder:
          lin_op_matrix = array_ops.placeholder_with_default(
              matrix, shape=None
          )
  
      if ensure_self_adjoint_and_pd:
          operator = LinearOperatorAdjoint(
              linalg.LinearOperatorFullMatrix(
                  lin_op_matrix,
                  is_positive_definite=True,
                  is_self_adjoint=True,
              )
          )
      else:
          operator = LinearOperatorAdjoint(
              linalg.LinearOperatorLowerTriangular(lin_op_matrix)
          )
  
      return operator, linalg.adjoint(matrix)
  
imports: import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_adjoint
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinearOperatorAdjointTest obj's underlying member method code with example usage: obj.operator_and_matrix(build_info, dtype, use_placeholder, ensure__adjoint_and_pd) and returns: operator,  linalg